דרושים » תוכנה » Senior Software Engineer

Requirements:
Required Qualifications:
* Bachelors or Masters degree in Computer Science, Engineering, or a related field.
* 5+ years of experience in data engineering, ETL development, or a similar role.
* Strong proficiency in SQL and experience with relational and NoSQL databases.
* Experience with data pipeline frameworks and tools such as: Apache Spark, Airflow & Kafka. - MUST
* Familiarity with cloud platforms (AWS, GCP, or Azure) and their data services.
* Solid programming skills in Python, JAVA, or Scala.
* Strong problem-solving, analytical, and communication skills.
* Knowledge of data governance, security, and compliance standards.
* Experience with data warehousing, Big Data technologies, and data modeling best practices such as ClickHouse, SingleStore, StarRocks. Preferred Qualifications (Advantage):
* Familiarity with Machine Learning workflows and MLOps practices.
* Work with data Lakehouse architectures and technologies such as Apache Iceberg.
* Experience working with data ecosystems in Open Source/On-Premise environments. Why Join Us:
* Work with cutting-edge technologies and large-scale data systems.
* Collaborate with a talented and innovative team.
* Opportunities for professional growth and skill development.
* Make a direct impact on data -driven decision-making across the organization.

Requirements:
4+ years of experience as a Backend Engineer
3+ years of hands-on experience in Scala/Python/JAVA and cloud architecture (EMR/K8S).
Deep technical expertise in distributed systems, stream processing, and data modeling of large data sets.
Proven track record of delivering scalable, and secure systems in a fast-paced working environment.
Experience with data governance practices, data security, and performance & cost optimization containers, working with AWS services such as S3, EKS, and more.
Strong problem-solving skills and ability to work independently.
A team player with excellent communication skills.
B.Sc. in computer science or an equivalent.
Advantages:

Experience in Big Data frameworks such as Spark
Experience with modern Data lakes/warehouses such as Snowflake and Databricks.
Production experience working with SaaS environments.
Experience in data modeling.

Requirements:
5+ years of hands-on experience in Software Engineering
Experience in Go/Python/Java or similar languages, with a strong emphasis on writing clean, maintainable, and well-tested code
Strong grasp of engineering fundamentals, including system design, data structures, and algorithms
Demonstrated experience with modern development standards, including CI/CD pipelines, comprehensive testing methodologies (unit, integration, E2E), and rigorous code reviews
B.Sc. or M.Sc. in Computer Science, Software and Computer Engineering, or equivalent military experience
Proficiency in at least one cloud provider (AWS, GCP, Azure)
Experienced with observability (monitoring, logging, tracing), profiling, and enhancing system performance
Advantage
Experience in Go - strong advantage
Experience in building and managing distributed cloud-based SaaS applications
Experience in cyber-security domain.

Requirements:
Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience.
2+ years of professional experience in software development.
Strong understanding of security principles and experience with security technologies (e.g., encryption, hashing, authentication, security protocols).
Experience with secure cloud and on-premise data storage practices, securing data transport (e.g., HTTPS, TLS, VPN) and secure key management practices.
Understanding of secure software development lifecycle (SDLC) practices.
Experience with Git version control.
Experience working in an Agile development environment and familiarity with Agile methodologies.
Excellent problem-solving skills and attention to detail.
Strong communication skills and ability to work collaboratively in a team environment.
Preferred Qualifications:
Proficiency in JavaScript and experience with Node.js, experience with front-end frameworks, particularly Vue.js and familiarity with the Go programming language.
Experience with cloud services such as AWS.
Knowledge of containerization technologies like Docker and Kubernetes.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with database management and design (SQL and NoSQL).
Experience with distributed systems and decentralized applications (dApps, Web3), proficiency in programming languages commonly used for blockchain development (e.g., Solidity, Hyperledger Fabric). Experience in developing smart contracts.
Strong understanding of blockchain technology, including consensus mechanisms, cryptography, and smart contracts. Experience working with private blockchains or other distributed ledger technologies (DLTs).
Knowledge of common security vulnerabilities (e.g., OWASP Top Ten) and mitigation strategies.
Familiarity with compliance standards and regulations (e.g., GDPR, HIPAA, ISO).
Experience with security tools such as static code analysis tools, vulnerability scanners, and penetration testing tools.
Proven experience in implementing secure coding practices and conducting security audits.
Contributions to open-source projects or participation in the tech community.

Requirements:
Experience developing large scale systems. Experience with filesystems, server architectures, distributed systems, SQL and No-SQL. Experience with Spark and Airflow / other orchestration platforms is a big plus.
Highly skilled in software engineering methods. 5+ years experience.
Passion for ML engineering and for creating and improving platforms
Experience with designing and supporting ML pipelines and models in production environment
Excellent coding skills in Java & Python
Experience with TensorFlow a big plus
Possess strong problem solving and critical thinking skills
BSc in Computer Science or related field.
Proven ability to work effectively and independently across multiple teams and beyond organizational boundaries
Deep understanding of strong Computer Science fundamentals: object-oriented design, data structures systems, applications programming and multi threading programming
Strong communication skills to be able to present insights and ideas, and excellent English, required to communicate with our global teams.
Bonus points if you have:
Experience in leading Algorithms projects or teams.
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.

Requirements:
Bachelors degree in Computer Science, Engineering or relevant experience
5+ years of professional software development experience
Proven experience building data-intensive systems at scale
Experience in working with micro-service architecture & cloud-native services
Solid understanding of software design principles, concurrency, synchronization, memory management, data structures, algorithms, etc
Hands-on experience with databases such as SingleStore, Postgres, Elasticsearch, Redis
Experience with Python / Go (Advantage)
Experience with distributed data processing tools like Kafka (Advantage)

Requirements:
6 + years of proven experience in designing and building large-scale production systems.
Strong Java and/or Python skills.
Experience (or good familiarity) with streaming technologies such as Storm, Flink, Spark Streaming.
Familiarity with concepts such as Queue/DLQ, Topics and general streaming practices (backpressure, circuit-breaker, etc).
Experience with various databases or data stores such as Elasticsearch, Redis, MySQL, Couchbase, MongoDB, Cassandra, Aerospike, etc.
Experience with AWS or other public clouds.
Excellent communication and interpersonal skills.
It'd be cool if you also: [not a must]
Profiled and optimized code to the millisecond level.
Experience with event streaming frameworks.
Strong written-English skills.

Requirements:
5+ years of proven experience in software development
Experience in designing, developing, and debugging complex, distributed systems.
Proven hands-on experience in Kubernetes, containerized environments and microservices.
Hands-on experience with cloud services, observability tools, and automation.
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)
Ability to lead discussions, mentor engineers, and drive technical decisions.
A collaborative mindset - we value engineers who can communicate effectively across teams.
Programming in Go or Java - advantage.

Requirements:
5+ years as a Platform/Software Engineer / DevOps Engineer (or similar role) with a strong programming experience in either Python, Go or other relevant coding languages
Proficiency in the cloud (GCP - preferred)
Solid understanding of infrastructure-as-code principles and tools such as Terraform/ArgoCD/ConfigConnector
Experience improving product stability through thoughtful code reviews, testing, proper rollout, monitoring, and proactive changes
High proficiency with virtualized and containerized environments (Kubernetes and Docker)
Ability to grasp new technologies quickly and prioritize and multitask on multiple responsibilities
Strong problem-solving skills and the ability to troubleshoot complex issues in production environments
Experience with working with internal and external customers and stakeholders
Excellent communication and interpersonal skills, ability to work and coordinate between multiple teams
Experience developing Kubernetes operators - An advantage
Proficiency with databases such as MySQL, ScyllaDB - An advantage.

Requirements:
5+ years of hands-on experience in backend or data engineering, including 2+ years at a senior level delivering production systems
Strong coding skills in Python, Kotlin, Java or Scala with emphasis on clean, testable, production-ready code
Proven track record designing, building and operating distributed data pipelines and storage (batch or streaming)
Deep experience with relational databases (PostgreSQL preferred) and working knowledge of at least one NoSQL or columnar/analytical store (e.g. SingleStore, ClickHouse, Redshift, BigQuery)
Solid hands-on experience with event-streaming platforms such as Apache Kafka
Familiarity with data-orchestration frameworks such as Airflow
Comfortable with modern CI/CD, observability and infrastructure-as-code practices in a cloud environment (AWS, GCP or Azure)
Ability to break down complex problems, communicate trade-offs clearly, and collaborate effectively with engineers and product partners
Bonus Skills
Experience building data governance or security/compliance-aware data platforms
Familiarity with Kubernetes, Docker, and infrastructure-as-code tools
Experience with data quality frameworks, lineage, or metadata tooling.